Da Hu

16 papers Misc 3Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Lightweight and Privacy-Enhanced Detection Model on Aerial Imagery for Post-Disaster Building Damage Reconnaissance. HICSS Md Abdullahil Oaphy, Da Hu, Adeel Khalid, Honghui Xu
2026	J	`jnl`	Scalable batch verification of ECDSA for blockchain using IVC. Frontiers Comput. Sci. Li Liu, Puwen Wei, Shuchang Liu, Zirui Wang, Da Hu, Zengjie Kou
2025	—	`conf`	Asymmetrical Filtering Impairments Mitigation for Digital-Subcarrier-Multiplexing Transmissions Enabled by Multiplication-Free K-State Reserved Complex MLSE. ECOC Hexun Jiang, Zhuo Wang, Chengbo Li, Weiqin Zhou, Shuai Wei, Yicong Tu, Heng Zhang, Wenjing Yu, Yongben Wang, Yong Chen, Ye Zhao, Da Hu, Lei Shi
2025	J	`jnl`	Data-Driven Deep-Learning Model for Predicting Jacking Force of Rectangular Pipe Jacking Tunnel. J. Comput. Civ. Eng. Yongsuo Li, Xiaoxuan Weng, Da Hu, Ze Tan, Kai Qi, Jing Liu
2025	J	`jnl`	GDRNet: a channel grouping based time-slice dilated residual network for long-term time-series forecasting. J. Supercomput. Qingda Bao, Shengfa Miao, Yulin Tian, Xin Jin, Puming Wang, Qian Jiang, Shaowen Yao, Da Hu, Ruoshu Wang
2025	J	`jnl`	Informing Disaster Recovery Through Predictive Relocation Modeling. Comput. Chao He, Da Hu
2025	—	`conf`	Low-Complexity Clock Recovery Scheme for Ultra-High-Speed Digital Subcarrier Multiplexing Systems. ECOC Chengbo Li, Hexun Jiang, Zhuo Wang, Weiqin Zhou, Yongben Wang, Shuai Wei, Da Hu, Lei Shi
2023	Misc	`conf`	3D Object Detection and Localization within Healthcare Facilities. WSC Da Hu, Mengjun Wang, Shuai Li
2023	J	`jnl`	Automating Building Damage Reconnaissance to Optimize Drone Mission Planning for Disaster Response. J. Comput. Civ. Eng. Da Hu, Shuai Li, Jing Du, Jiannan Cai
2023	J	`jnl`	Object detection in hospital facilities: A comprehensive dataset and performance evaluation. Eng. Appl. Artif. Intell. Da Hu, Shuai Li, Mengjun Wang
2022	J	`jnl`	Recognizing object surface materials to adapt robotic disinfection in infrastructure facilities. Comput. Aided Civ. Infrastructure Eng. Da Hu, Shuai Li
2022	J	`jnl`	Seeing through Disaster Rubble in 3D with Ground-Penetrating Radar and Interactive Augmented Reality for Urban Search and Rescue. J. Comput. Civ. Eng. Da Hu, Long Chen, Jing Du, Jiannan Cai, Shuai Li
2022	Misc	`conf`	Urban Subsurface Mapping via Deep Learning Based GPR Data Inversion. WSC Mengjun Wang, Da Hu, Shuai Li, Jiannan Cai
2020	Misc	`conf`	Toward Intelligent Workplace: Prediction-Enabled Proactive Planning for Human-Robot Coexistence on Unstructured Construction Sites. WSC Da Hu, Shuai Li, Jiannan Cai, Yuqing Hu
2019	J	`jnl`	Detecting, locating, and characterizing voids in disaster rubble for search and rescue. Adv. Eng. Informatics Da Hu, Shuai Li, Junjie Chen, Vineet R. Kamat
2019	J	`jnl`	Registering georeferenced photos to a building information model to extract structures of interest. Adv. Eng. Informatics Junjie Chen, Donghai Liu, Shuai Li, Da Hu

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.